lliai / Awesome-LoRA-Low-Rank-Adaptation
Awesome-Low-Rank-Adaptation
☆93Updated 6 months ago
Alternatives and similar repositories for Awesome-LoRA-Low-Rank-Adaptation:
Users that are interested in Awesome-LoRA-Low-Rank-Adaptation are comparing it to the libraries listed below
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆186Updated 4 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆77Updated 5 months ago
- ☆99Updated 9 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆111Updated last week
- ☆48Updated 4 months ago
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆74Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 10 months ago
- Awesome Low-Rank Adaptation☆36Updated 7 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆56Updated last month
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆66Updated last month
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆37Updated 10 months ago
- ☆132Updated 8 months ago
- ☆48Updated 4 months ago
- The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)☆45Updated last month
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 7 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated last year
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆136Updated 2 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆44Updated 6 months ago
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆46Updated 3 months ago
- A curated list of Model Merging methods.☆91Updated 7 months ago
- A block pruning framework for LLMs.☆22Updated 9 months ago
- Data distillation benchmark☆58Updated this week
- ☆144Updated 7 months ago
- ☆21Updated 7 months ago
- Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" b…☆31Updated 10 months ago
- ☆18Updated 4 months ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆31Updated last month
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆22Updated 2 weeks ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆42Updated 5 months ago
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆153Updated 7 months ago